PhD position in Engineering and Computer Science, Sorbonne Universite



  • PhD position in Engineering and Computer Science, Sorbonne Université, Paris, Fr,


  • Physics Based Deep Learning for Modeling Complex Dynamics. Applications to Climate.


  • Contact : Patrick Gallinari, [email protected]


  • Location: Sorbonne University, Pierre and Marie Curie Campus, 4 Place Jussieu, Paris, Fr


  • Candidate profile: Master in computer science or applied mathematics, Engineering school. Background and experience in machine learning. Good technical skills in programming.


  • How to apply: please send a cv, motivation letter, grades obtained in master, recommendation letters when possible to [email protected]


  • Start date: October/November 2022


  • Note: The research topic is open and depending on the candidate profile could be oriented more on the theory or on the application side.


  • Detailed description at:


  • Physics Based Deep Learning for Modeling Complex Dynamics. Applications to Climate.


PhD thesis: Reconciliation of Uncertain Knowledge for Knowledge Graph Refinement



  • Dear all, Please find below an offer for a PhD thesis position at Orange in Belfort (France) about "Reconciliation of Uncertain Knowledge for Knowledge Graph Refinement":


  • https://orange.jobs/jobs/offer.do?joid=110962&lang=FR


  • Candidates can contact me for any questions regarding the offer.


PhD position in The question of linguistic variation in the framework of the TAL applies to Corsica, University of Corsica



  • The doctoral school of the University of Corsica has published its 2022-2023 thesis offer.


  • The list includes a subject in NLP applied to Corsican ("The question of linguistic variation in the context of automatic language processing applied to Corsican").


  • For more details: https://applisweb.universita.c orsica/ecole_doctorale/offres_these/download.phpid=280&file=FRES_LISA_SPE_Medori_E_Bisgambiglia_PA_22_23.pdf


  • To apply: https://applisweb.universita.c orsica/ecole_doctorale/offres_these/listing_offres_these-front.php? acces=ok&id_site=21&id_art=2288&id_rub=0&id_menu=0&id_cat=0&id_site=21


PhD position (Univ. Polytechnique Hauts-de-France)



  • The Polytechnic University of Hauts-de-France (France) in collaboration with the University of Cantabria (Spain) opens a PhD position for a thesis entitled :


  • "Predictive evaluation of the quality in use in smart environments by the application of agent mining"


  • Start: September 2022.


  • Duration: 3 years


  • Keywords: quality in use, measures, metrics, software agent, data mining


  • Offer detail http://www.univ-valenciennes.fr/LAMIH/sites/fr.LAMIH/files/pdf/info/thesissubject.pdf


  • Best regards,


9 positions available at STACK within the OTPaas Framework



  • Dear all,


  • In the context of the OTPaaS project, the STACK research group (http://stack.imt-atlantique. fr) have 9 opening research positions for a duration between 18 and 36 months.


  • For more information, please refer to this link https://stack-research-group.gitlabpages.inria.fr/web/jobs/2022/01/28/9-positions-available-at-STACK-within-the-OTPaas-Framework.html.


  • Kind regards, Kandaraj Piamrat


Internship offer Bachelor ' Engineer / Master



  • I propose several internship topics dedicated to several varied student profiles (bachelor's, engineer and Master's degrees).


  • * DEVELOPMENT OF A USER INTERFACE FOR AN AUTOMATED DEPLOYMENT SOLUTION OF CONTAINERIZED CLOUD-NATIVE APPLICATIONS (https://www.cetic.be/Developp-of-a-user-interface-for-a-deployment-solution)


  • * EVALUATION OF THE QUALITY OF A SOFTWARE ARCHITECTURE - TOOLS AND METHODS. (https://www.cetic.be/Evaluati on-de-la-qualite-d-une-architecture-logicielle-outils-et-methodes)


  • Thank you for disseminating this offer to interested students.


  • Yours truly, Rami Sellami (https://www.cetic.be/Rami-Sel lami?lang=en), expert researcher in the Model-Based Engineering of complex IT systems (MBEDIS) department, CETIC, Belgium.


PhD position in Abductive Reasoning with Minimal Sensing in a Home Environment



  • Mines Saint-Étienne and the company elm.leblanc are offering a thesis in the field of AI for home automation.


  • The objective of this thesis is to explain the variations observed by a connected meter (electricity, gas or water) by reasoning on the possible activities of the home. This method aims to compete with conventional approaches to pervasive computation, both permanent (and therefore a source of electricity consumption) and invasive (and therefore a source of invasion of privacy).


  • The profiles that will be preferred are those highlighting knowledge of logic and semantic web but profiles more oriented statistical learning will also be considered. The thesis is to start in September/October 2022.


  • Offer details : https://www.madics.fr/event/ offre709/?instance_id=2258


  • Yours sincerely, Victor Charpenay, lecturer at LIMOS (Mines Saint-Étienne)


Research Engineer at Inria Montpellier, fixed-term contract 3 years



  • Job Title: Creation of a data warehouse for the integration of antimicrobial resistance data


  • Duration of the contract: 3 years


  • Required degree: Master's degree or PhD in Computer Science


  • Job description This position is offered as part of a research project (Promise, https://pro.inserm.fr/wp-conte nt/uploads/2021/12/brochure-PROMISE.pdf) whose objective is to create a data warehouse to integrate data from project partners related to antimicrobial resistance. The development of the data warehouse will be carried out in collaboration with the Zénith team of the National Institute for Research in Digital Science and Technology (Inria). The Zenith team, an expert in scientific data management, has a solid experience in processing large amounts of data produced by different methods.


  • The main activities of the recruited person are: • Design a data warehouse to store large volumes of data.


  • • Exchange with partners to best establish the meaning and possibilities. questioning the data, in particular by crossing them with those of other partners.


  • • Integrate partner data into the data warehouse. • Create web pages to view query results and update data.


  • Technical skills and level required: • Knowledge of NoSQL data management systems, in particular MongoDB or Cassandra.


  • • Knowledge of website development.


  • Gross Salary Between 2500 and 3800 Euros gross monthly (depending on the candidate's experience).


  • Place of work Zenith team, Montpellier


  • Contact Reza Akbarinia: [email protected] Florent Masseglia: [email protected]



JOB OFFER: COMPUTER VISION AND MACHINE LEARNING EXPERT



  • We are hiring talents with skills and experience in computer vision and machine/deep learning to work on highly innovative projects addressing challenging, realistic, yet still open problems in CV&ML and related applications.


  • We are looking for passionate researchers who loves challenges and wants to grow working in a team composed by academia and industry scholars, highly qualified and engaged to study, design, develop and validate image and video analysis methods based on deep learning approaches.


  • Starting from the analysis of the start-of-the-art models, you will be asked to study and design deep learning models tailored to tackle, and possibly solve, realistic problems related to domain adaptation and generalization, semi/self/un-supervised learning, learning with imbalance/few data or with (label) noisy data. We aim at tackling actual applicative projects and validating our proposed methods coping with public and proprietary datasets.


  • A further challenge is also to find out effective and efficient deep learning approaches in order to maximize performance while optimizing and containing the computational cost (memory and processor usage) and the use of computing resources. This target is faced together with hardware specialists, with whom one can work daily side-by-side to jointly support the development of such models.


  • This mix of high-tier academic and industrial fellows create a unique environment and unmissable opportunity for those who really want to make the difference and deploy AI onto the real world.


  • Required qualifications (not all requested, but the more, the better):


  • · Significant skills and experience in Machine and Deep Learning.


  • · Significant skills and experience in Computer Vision and Image\Signal Processing.


  • · Experience in Software development using Python (SciPy, NumPy, OpenCV, Pillow, etc.).


  • · Experience with development frameworks for machine learning such as TensorFlow/Keras and PyTorch.


  • · Knowledge on model optimization techniques for latency and memory footprint.


  • · Knowledge of state-of-the-art DNN architectures such as ResNet, MobileNet, YOLO, etc.


  • · Knowledge about object detection and classification, human pose estimation, semantic segmentation, forecasting.


  • · Publication track record on relevant conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, etc.) and/or journals (PAMI, IJCV, CVIU, etc.)


  • · Problem-solving, analytical and critical thinking skills.


  • · Excellent communication skills and ability to work in a highly collaborative environment.


  • · Fluent English, spoken and written.


  • Doctorate studies are a very welcome add-on, even if not mandatory.


  • Place of work: Verona, Italy.


  • If you are interested and meet the above requirements, please, send your CV and other possible relevant information to Prof. Vittorio Murino, [email protected]. Thank you


Position engineer Aix Marseille University - ANR SELEXINI project (CDD)



  • Research Engineer position - Aix Marseille University - ANR SELEXINI


  • Data and tools for the development of lexicon induction methods


  • Detailed description in English:https://selexini.lis-lab.fr/ jobs/2022/03/29/engineer-position


  • * Duration: 12 months


  • * Start: June 2022 (adaptable)


  • * Application: before May 2, 2022 by email to carlos.ramisch [AT] lis-lab.fr


  • * Location: LIS, TALEP team, Aix Marseille University, Luminy campus, Marseille


  • * Remuneration (CDD): €1,600 to €2,000, depending on experience


  • The objective of the ANR SELEXINI project is to develop original methods of lexicon induction in automatic language processing The lexicons produced by clustering will bring together occurrences of words according to their meanings, but will also contain polylexical expressions, frames semantics, argumental structure, generated definitions, etc. Lexicon induction methods will rely on neural language models (e.g. FlauBERT, CamemBERT) and existing lexical resources (e.g. Wiktionary).


  • The recruited engineer will be responsible for setting up the initial infrastructure of the project, both in terms of data and tools. The mission will take place in 5 stages: (1) preparation of a large raw corpus representative of various registers of written French, (2) pre-processing of the corpus using parsers, etc., (3) extraction and structuring of the entries of the French Wiktionary, (4) adaptation (fine-tuning) of language models on the corpus of the project, (5) alignment of polylexical words and expressions extracted from Wiktionary with the occurrences of the corpus.


  • Profile * Master or thesis in a field related to automatic language processing * Notions of French and English * Interest in languages and familiarity with language technologies


  • Application Send your CV and a few lines explaining why you are applying to carlos.ramisch [AT] lis-lab.fr before May 2, 2022.


Two postdoctoral positions on Sound and Speech Recognition



  • Dear colleagues, The RAMBO team of IMT Atlantique, in collaboration with Smart Macadam, is looking for candidates for two 18-month postdoc positions located in Nantes (France) on the following topics:


  • 1. Post-doctoral fellow speech recognition, artificial intelligence - 18 month contract


  • French description: https://institutminestelecom.recruitee.com/l/fr/o/postdoctorante-ou-postdoctorant-reconnaissance-automatique-de-la-parole-intelligence-artificielle-cdd-18-mois


  • English description: https://institutminestelecom.recruitee.com/l/en/o/postdoctorante-ou-postdoctorant-reconnaissance-automatique-de-la-parole-intelligence-artificielle-cdd-18-mois


  • 2. Post-doctoral fellow sound recognition, artificial intelligence - 18 month contract


  • French description: https://institutminestelecom.recruitee.com/l/fr/o/postdoctorante-ou-postdoctorant-reconnaissance-de-sons-intelligence-artificielle-cdd-18-mois


  • English description: https://institutminestelecom.recruitee.com/l/en/o/postdoctorante-ou-postdoctorant-reconnaissance-de-sons-intelligence-artificielle-cdd-18-mois


  • For more details about the positions and to submit your application, please follow the links above.


  • Best regards, Mihai Andries Christophe Lohr


PhD position in Graph Neural Networks for morpho-functional analysis and comparison of brain structures



  • LIFAT Tours - France


  • Title: Graph Neural Networks for morpho-functional analysis and comparison of brain structures


  • Supervisors: Jean-Yves Ramel (LIFAT Université de Tours) - Elodie Chaillou (INRAE Nouzilly)


  • Very short description: In the context of a multidisciplinary collaboration between data/computer scientists and neurobiologists, the proposed thesis aims to create new methods and algorithms for anatomical and functional analysis and comparison of brain structures using recent deep neural networks techniques dedicated to graphs (GNN, geometric deep learning ...).


  • More information: https://lifat.univ-tours.fr/medias/fichier/offre-phd-gnnbrain2022_1648463721506-pdf


  • Please submit pdf files of your CVs along with any meaningful information for the position (motivation letters, reference letters, code source, academic records, awards, articles, ...). If your application is selected, you will then be contacted for further information and interview details.


  • Contact: [email protected], [email protected]


PhD position in machine learning for formal verification (Université Paris-Saclay, CEA LIST Institute, France)



  • Dear all, The Software Reliability and Security Lab at CEA LIST (Université Paris-Saclay, France) is hiring a PhD student (3 years contract) to work on machine learning for formal software verification in the context of Frama-C.


  • Frama-C is an open-source platform providing several analyzers for C code as plug-ins. The most notables are Eva, based on abstract interpretation, and WP, based on the weakest preconditions calculus.


  • Both plug-ins provide highly parametrizable techniques that may be efficiently combined, but their activation may be prohibitive in terms of resources such as time of computation and memory footprint. Moreover, many of these techniques are more or less based on heuristics which are usually manually conceived. These heuristics may be suboptimal, and require considerable technical knowledge and effort to be devised.


  • The goal of the PhD is to integrate machine learning approaches to the Frama-C static analyzers in order to overcome the aforementioned shortcomings. The PhD will start by studying which heuristics already in place in Eva or WP could be automatically learned. Later, the PhD will investigate and propose representations and learning algorithms for treating code, with a particular focus on maintaining as much as possible the semantic elements. The developed research work will be evaluated on academic and industrial use cases.


  • Knowledge in the following fields is required: - Machine learning or deep learning - Python programming


  • Some knowledge in program verification is especially welcome.


  • A full description of the position is available online: https://www.frama-c.com/jobs/2022-03-28-machine-learning-for-improving-formal-verification-of-code.html


  • The starting date is expected to be in September 2022. However, we suggest the interested candidates to get in touch with us as soon as possible as a 3+ month procedure for administrative and security purposes is typically required by CEA.


  • For further information and inquiries, please contact: Michele Alberti ([email protected]) Valentin Perrelle ([email protected])


  • Best regards, Michele Alberti